Instructions to use ChemFM/LangMolDiode-Qwen3.5-4B-RL-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ChemFM/LangMolDiode-Qwen3.5-4B-RL-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ChemFM/LangMolDiode-Qwen3.5-4B-SFT") model = PeftModel.from_pretrained(base_model, "ChemFM/LangMolDiode-Qwen3.5-4B-RL-LoRA") - Notebooks
- Google Colab
- Kaggle
LangMolDiode Qwen3.5-4B RL LoRA
LangMolDiode is a language-conditional molecule generator that generates SMILES from detailed molecular structure descriptions.
Project code: LangMolDiode
This repository contains adapters from the LangMolDiode Qwen3.5-4B DAPO run. The root adapter is the final rollout step 1500. Additional selected adapters are available under:
| Subfolder | Selection set | Rollout step | exact@1 |
|---|---|---|---|
best_validated_step1260/ |
1,972 validated prompts | 1260 | 0.8519 |
best_test_step1315/ |
200 MolLangBench test prompts | 1315 | 0.7150 |
best_extended_step1370/ |
200 MolLangBench extended prompts | 1370 | 0.7750 |
Each validation prompt was sampled three times. exact@1 is the first sample's
canonical-SMILES exact match. Best means highest observed exact@1 among the
full saved validation runs, with the earliest step winning a tie. Selection on
the test and extended sets means their reported values should be treated as
selection results, not untouched holdout estimates.
The adapters use the merged SFT base ChemFM/LangMolDiode-Qwen3.5-4B-SFT. LoRA rank is 64 and alpha is 128.
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Model tree for ChemFM/LangMolDiode-Qwen3.5-4B-RL-LoRA
Base model
Qwen/Qwen3.5-4B-Base